======= >>>>>>> origin/NV-dev Reproducible Research with and - Reproducible Research with and : Workflows for data, projects and publications <<<<<<< HEAD ======= >>>>>>> origin/NV-dev

Reproducible Research with and : Workflows for data, projects and publications

Landscape 2024 masterclass

Ben Black

Planning of Landscape and Urban Systems (PLUS), ETH Zurich

Nivedita Harisena

Planning of Landscape and Urban Systems (PLUS), ETH Zurich

Maarten Van Strien

Planning of Landscape and Urban Systems (PLUS), ETH Zurich

March 8, 2024

Schedule

  • Introduction (15 mins)
  • Research projects with R (30 mins)
  • Comfort break (10 mins)
  • 3 workflows for Reproducibility (20 mins)
  • Quarto (20 mins)
  • Comfort break (10 mins)
  • Exercise time (45 mins)
  • Q&A + feedback (30 mins)

Introduction

About us

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Ben Black

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Ben Black

Doctoral Researcher

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Nivedita Harisena

Doctoral Researcher

Maarten Van Strien

Senior scientist

About us

Ben Black

About us

Nivedita Harisena

About us

Maarten Van Strien

<<<<<<< HEAD

What is reproducible research?

Let’s hear your thoughts: What does reproducible research mean to you?

The FAIR standard

Why strive for reproducible research?

Why for reproducible research?

Workshop concept

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Research projects with R

test

Let’s take a 10 minute break!

3 workflows for Reproducibility

Quarto

A brief introduction to Quarto

Quatro is a unified authoring framework that allows for the intrgration of code, written material and a wide variety of interactive visual formats into one publishable finished document.

Quarto allows you to:

  • Create dynamic content that is updated as your code changes

  • Numerous thematic settings for high quality formatting including ‘Pandoc’ markdown support for equations and cross-referencing

  • Publish your work as websites or books

  • Edit with any text editor including VS Code, RStudio and more

Some of the creative ways in which you can use Quarto is:

1. Visualize and publish interactive plots using html widgets

Warning: package 'plotly' was built under R version 4.3.3

Attaching package: 'plotly'
The following object is masked from 'package:ggplot2':

    last_plot
The following object is masked from 'package:stats':

    filter
The following object is masked from 'package:graphics':

    layout

2. Create interactive geo-spatial mapping segments

Warning: package 'leaflet' was built under R version 4.3.2

3. Create multi-purpose dashboards to demostrate your research output

Let’s take another 10 minute break!

Now it’s your turn!

Q&A + feedback